Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis
IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differenti...
Ausführliche Beschreibung
Autor*in: |
Jie Jiang [verfasserIn] Chong Liu [verfasserIn] Guoyong Xu [verfasserIn] Tuo Liang [verfasserIn] Chaojie Yu [verfasserIn] Shian Liao [verfasserIn] Zide Zhang [verfasserIn] Zhaojun Lu [verfasserIn] Zequn Wang [verfasserIn] Jiarui Chen [verfasserIn] Tianyou Chen [verfasserIn] Hao Li [verfasserIn] Xinli Zhan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
weighted gene co-expression network analysis |
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Übergeordnetes Werk: |
In: Frontiers in Oncology - Frontiers Media S.A., 2012, 11(2021) |
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Übergeordnetes Werk: |
volume:11 ; year:2021 |
Links: |
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DOI / URN: |
10.3389/fonc.2021.621430 |
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Katalog-ID: |
DOAJ068905645 |
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520 | |a IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. | ||
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653 | 0 | |a Neoplasms. Tumors. Oncology. Including cancer and carcinogens | |
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10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 |
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10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 |
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10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 |
allfieldsGer |
10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 |
allfieldsSound |
10.3389/fonc.2021.621430 doi (DE-627)DOAJ068905645 (DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415 DE-627 ger DE-627 rakwb eng RC254-282 Jie Jiang verfasserin aut Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry Neoplasms. Tumors. Oncology. Including cancer and carcinogens Chong Liu verfasserin aut Guoyong Xu verfasserin aut Tuo Liang verfasserin aut Chaojie Yu verfasserin aut Shian Liao verfasserin aut Zide Zhang verfasserin aut Zhaojun Lu verfasserin aut Zequn Wang verfasserin aut Jiarui Chen verfasserin aut Tianyou Chen verfasserin aut Hao Li verfasserin aut Xinli Zhan verfasserin aut In Frontiers in Oncology Frontiers Media S.A., 2012 11(2021) (DE-627)684965518 (DE-600)2649216-7 2234943X nnns volume:11 year:2021 https://doi.org/10.3389/fonc.2021.621430 kostenfrei https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 kostenfrei https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full kostenfrei https://doaj.org/toc/2234-943X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ068905645</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309081424.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fonc.2021.621430</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ068905645</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf4e7dd91ad0c44fdb70481f83c3e0415</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC254-282</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Jie Jiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">melanoma</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weighted gene co-expression network analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">differential expression gene analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biomarker</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">predict prognosis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">immunohistochemistry</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neoplasms. 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Jie Jiang misc RC254-282 misc melanoma misc weighted gene co-expression network analysis misc differential expression gene analysis misc biomarker misc predict prognosis misc immunohistochemistry misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis |
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RC254-282 Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis melanoma weighted gene co-expression network analysis differential expression gene analysis biomarker predict prognosis immunohistochemistry |
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identification of hub genes associated with melanoma development by comprehensive bioinformatics analysis |
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Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis |
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IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. |
abstractGer |
IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. |
abstract_unstemmed |
IntroductionThis study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.Materials and methodsGene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene’s protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.ResultsA total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction. |
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Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis |
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https://doi.org/10.3389/fonc.2021.621430 https://doaj.org/article/f4e7dd91ad0c44fdb70481f83c3e0415 https://www.frontiersin.org/articles/10.3389/fonc.2021.621430/full https://doaj.org/toc/2234-943X |
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Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.ConclusionFOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">melanoma</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weighted gene co-expression network analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">differential expression gene analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biomarker</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">predict prognosis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">immunohistochemistry</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neoplasms. 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